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Datasets for spatial analysis
alaska
- Alaska multipolygonaggregating_zones
- See congruent
congruent
- Sample of UK administrative zones that have
shared borders with aggregating_zones
(incongruent
does not have shared borders) for teaching the
concept of spatial congruencecycle_hire
- Cycle hire points in Londoncycle_hire_osm
- Cycle hire points in London from
OSMhawaii
- Hawaii multipolygonincongruent
- See congruent
lnd
- The boroughs of Londonnz
- The regions of New Zealandnz_height
- High points in New Zealandseine
- Small river network in Franceurban_agglomerations
- Major urban areas worldwideus_states
- US states polygonsworld
- World country polygonsauckland
- Marshall’s infant mortality in Auckland
datasetelect80
- 1980 Presidential election resultshouse
- Lucas county OH housingSplashDams
- Data for Splash Dams in western
Oregonstate.vbm
- US State Visibility Based Mapafcon
- Spatial patterns of conflict in Africa
1966-78boston
- Boston Housing Datacolumbus
- Columbus OH spatial analysis data seteire
- Eire data setsnc.sids
- North Carolina SIDS dataNY_data
- New York leukemia dataused.cars
- US 1960 used car priceselev.tif
- Small raster dataset representing elevation
valuesgrain.tif
- Small raster dataset representing grain
size classesbaltimore
- House sales prices, Baltimore, MD 1978coffee_data
- World coffee production statistics by
country, 2016 and 2017getisord
- Getis-Ord remote sensing example datahopkins
- Hopkins burnt savanna herb remainshuddersfield
- Prevalence of respiratory symptomsjenks71
- Illinois 1959 county gross farm product value
per acreus_states_df
- Selected American Community Survey (ACS)
datawheat
- Mercer and Hall wheat yield dataworldbank_df
- Selected World Bank datadepmunic
and properties
- Athens
properties data set from HSARGet the released version from CRAN:
install.packages("spData")
Get the development version from github:
::install_github("nowosad/spData") devtools
This package interacts with data available through the spDataLarge package, which is available in a ‘drat’ repository. To access this data package, run:
install.packages("spDataLarge", repos = "https://nowosad.github.io/drat/", type = "source")
The size of the spDataLarge package is approximately 20 MB. Learn more about the spDataLarge package at https://github.com/Nowosad/spDataLarge.
Feel free to submit issues and enhancement requests.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.